MCP server for controlling a local camofox-browser instance, enabling LLM agents to perform web automation tasks such as navigation, interaction, snapshotting, and content extraction.
MCP server for browser automation with anti-detection. Scout pages, find elements, interact with websites, and monitor network traffic from any AI client that supports the Model Context Protocol.
MCP server that wraps agent-browser to let LLMs control a real browser, providing tools for navigation, interaction, reading page content, accessibility snapshots, screenshots, and session management.
This MCP server exposes an anti-detect Firefox browser that passes bot-detection tests, allowing LLMs to automate web interactions with humanized clicks and fingerprint randomization.